Details
| Title | Advances in medical technologies and clinical practice book series. — Machine learning in cancer research with applications in colon cancer and big data analysis |
|---|---|
| Creators | Lu Zhongyu |
| Other creators | Xu Qiang ; Al-Rajab Murad ; Chiazor Lamogha |
| Collection | Электронные книги зарубежных издательств ; Общая коллекция |
| Subjects | Cancer — Research. ; Colon (Anatomy) — Cancer — Research. ; Cancer — Diagnosis. ; Bioinformatics. ; Big data. ; Problem solving — Data processing. ; EBSCO eBooks |
| Document type | Other |
| File type | |
| Language | English |
| Rights | Доступ по паролю из сети Интернет (чтение, печать, копирование) |
| Record key | on1196821690 |
| Record create date | 9/16/2020 |
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| Group | Anonymous |
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| Network | Internet |
"This book presents a general picture for the latest research output and the state of the art technology in the bioinformatics in cancer research, and big data, machine learning theory and technologies in the various applications"--.
| Network | User group | Action |
|---|---|---|
| ILC SPbPU Local Network | All |
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| Internet | Authorized users SPbPU |
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| Internet | Anonymous |
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- Cover
- Title Page
- Copyright Page
- Book Series
- Table of Contents
- Preface
- Chapter 1: Importance of Information Working With Colon Cancer Research
- Chapter 2: An Overview on Bioinformatics
- Chapter 3: Research Approach With Machine Learning Underpinned
- Chapter 4: Design and Procedures for the Investigation Conducted
- Chapter 5: Findings for the Conducted Investigations
- Chapter 6: Analysis, Discussion, and Evaluations for the Case Studies
- Chapter 7: Final Remarks for the Research With Advanced Machine Learning Methods in Colon Cancer Analysis
- Chapter 8: Importance of Research Into Big Data With Machine Learning Approach
- Chapter 9: Overview of Big Data With Machine Learning Approach
- Chapter 10: Methodology for the Research Conducted
- Chapter 11: Hybrid-AutoML System Development
- Chapter 12: Research Output for the Hybrid-AutoML System
- Chapter 13: Final Remarks and Further Work for the Hybrid-AutoML System
- About the Authors
- Index
